Mortality risk among children admitted in a large-scale nutritional program in Niger, 2006.

Abstract

BackgroundIn 2006, the Médecins sans Frontières nutritional program in the region of Maradi (Niger) included 68,001 children 6-59 months of age with either moderate or severe malnutrition, according to the NCHS reference (weight-for-heightMethodologyProgram monitoring data were collected from the medical records of all children admitted in the program. Data included age, sex, height, weight, MUAC, clinical signs on admission including edema, and type of discharge (recovery, death, and default/loss to follow up). Additional data included results of a malaria rapid diagnostic test due to Plasmodium falciparum (Paracheck) and whether the child was a resident of the region of Maradi or came from bordering Nigeria to seek treatment. Multivariate logistic regression was performed on a subset of 27,687 children meeting the new WHO growth standards criteria for severe malnutrition (weight-for-heightPrincipal findingsIn the first model including only weight, height, sex and presence of edema, the risk factors retained were the weight/height(1.84) ratio (OR: 5,774; 95% CI: [2,284; 14,594]) and presence of edema (7.51 [5.12; 11.0]). A second model, taking into account supplementary data from perfunctory clinical examination, identified other risk factors for death: apathy (9.71 [6.92; 13.6]), pallor (2.25 [1.25; 4.05]), anorexia (1.89 [1.35; 2.66]), fever>38.5 degrees C (1.83 [1.25; 2.69]), and age below 1 year (1.42 [1.01; 1.99]).ConclusionsAlthough clinicians will continue to perform screening using clinical signs and anthropometry, these risk indicators may provide additional criteria for the assessment of absolute and relative risk of death. Better appraisal of the child's risk of death may help orientate the child towards either hospitalization or ambulatory care. As the transition from the NCHS growth reference to the WHO standards will increase the number of children classified as severely malnourished, further studies should explore means to identify children at highest risk of death within this group using simple and standardized indicators.